实例介绍
【实例简介】
锅炉过热汽温的动态特性会随运行工况发生较大变化,传统的控制方法难以达到理想的控制性能。该文基于线性自抗扰控制器设计串级优化控制方案,根据现有的比例-积分-微分(PID)控制器参数计算自抗扰控制器参数初值,进而基于改进的优化指标,采用果蝇算法优化出一组适用于不同工况的固定控制器参数。仿真结果表明:该方案能够很好地平衡快速性与稳定性的矛盾,且具有更好的性能鲁棒性。
1290 2C14,54(10) (FOA) =3o,A2=3m2,R ADRC kp, k, bo PID ) ADRC ADro k k PID KI G= Kp+i+K (9) R ADRC (12) +R b。 N: R p2)=K1 (10) W (p2+a3)-K1 BiB W;=F(S;). 4) a3-|b。|Kma3+|b.Ka3-b.|K1-0. b。 (x。y0)=( (15) (10)(11) (2)-(4) (8),a ADrc bc =be,kp=pr kd=p2,。(a3) ITAE 2.3 le(t)i dt+Ble(t)I,(15) ∑ (17) 50% A1-0.2;75% (integrated time absolute e 入2=0.4;100% ITAE) 4 2.4 3.1 5% 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 129 b1-0.0073 1.33,kn-10,k1-0.014 开始 (20) 设置果蝇群体数P、 优化代数G 初始化果蝇种群位置、 给定P=1,8=1 [13] ADRC 执行果蝇伊化算法, 保留最优味道浓度及相应果蝇位置 Po po pe 1.5 是 文「1 g=g01 否 稳定子某一数值 本文 po-1, 8- 是 最优果蝇位置即为 50U100015(0200 优化得到的控制器参数 (a)50%工况 终止 L5 文|5」文[13 1.195 (18) 0.5 1.67s+ 本文 50n 1000 control, IMC) PID (b)75%工况 Kp=0.6171.K1=0.0047,Kp=19.9941 文[5 (19 木文 ADRC 文13 (c)100%工况 1.1: 优化代数 3.3 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net l292 2C14,54(10) 007,14(3):284-286 XU Chang, LU Jian hong, CHENG Ming. Neural network M(s) PID adaptive control and its application [J].Control Engineering of China, 2007,14(3):284-286. (in Chinese G (s) [3 MAN Chuntao, LI JiE, WANG Lanying, ct al. The fuzzy PID control system for superheated steam temperature of boiler [Cl// IEEE 6 th International Forum on Strategic Technolagy (IFOST). Harlin, 2011.2: 967-970 [4 ZHAO Wenjie. NIU Yug-Uang, LIU Jizhen. MulTi-model MO 1十GG (21) adaptive contrcl for the superheated steam temperature C3// IEEE International Conference on Machine Learning and Cybcrnctics. Bcijing, 2002. 1: 269-272. M(jm)|≤1+ (22) 009,49(2):249252 LI Donghai, JIANG Xuezhi, et al (22) 5 temperatures based cn probabilistic robustness [J].Journal of Tsinghua University: Science and Technology, 2009 9(2);219-252.( in Ch [6 HAN Jingging. From PiD to activc disturbance rcjcction e Tran 本文 2009,56(3):900906 文|l3 32(21):82-86 10y WANG Bingshu, GUAN Zhimin, LIN Yongjun, et al. Mai 100 steam temperature controller and its parameter adjustment for the th plant bascd on active disturba ontrol [J_. Automation of Electric Power Systems, 2009 32(21):82-86.( in Chinese) L8 GAo Zliigiang. Scaling and hand widiirparameterization based controller tuning [C dings of the american Control Conference. Denver, CO. 2006,614989-4996 [9 ZHANG Yuqiong, LI Donghai, XUE Yali. Activ disturbance rejection contro. for circulating fluidized bed boiler [C/ /IEEE 12-th International Conference on Control Automation and Systems (ICCAS). Jeju Island 012:1413-1418 L10 HUANG Chu:'e. LI Donghai. XUE YAli. Active disturbance rejection control for the ALSTOM gasifier benchmark PID ITAE problem [J]. Control Engineering Practice, 2013 [11 ZHAO Chunze, LI Donghai. Contrcl design for the SISO systcm with the unknown order and thc unknown rclativc degree [). IS A Transaction, 2014, 53(4):858-872 [12 PAN Wen- Tsao. A new fruit fly optimization algorithm Taking the financial di del [17> Knoe led ge-Based Systems.2012.26:69-74 (References ,2308. CHEN Xing. Active Disturbance Rejection Controller Tuning ,2010(3):293-296. and Its Applications to Thermal Processcs [D]. Bcijing NIU Peifeng, GUO Xinghua, MENG Fandong. Application Tsinghua University, 2008. (in Chinese) of fuzzy neural net work control to Suoer-heated steam []. Control Engineering of China, 2010(3 293-296. (in Chinese 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 【实例截图】
【核心代码】
锅炉过热汽温的动态特性会随运行工况发生较大变化,传统的控制方法难以达到理想的控制性能。该文基于线性自抗扰控制器设计串级优化控制方案,根据现有的比例-积分-微分(PID)控制器参数计算自抗扰控制器参数初值,进而基于改进的优化指标,采用果蝇算法优化出一组适用于不同工况的固定控制器参数。仿真结果表明:该方案能够很好地平衡快速性与稳定性的矛盾,且具有更好的性能鲁棒性。
1290 2C14,54(10) (FOA) =3o,A2=3m2,R ADRC kp, k, bo PID ) ADRC ADro k k PID KI G= Kp+i+K (9) R ADRC (12) +R b。 N: R p2)=K1 (10) W (p2+a3)-K1 BiB W;=F(S;). 4) a3-|b。|Kma3+|b.Ka3-b.|K1-0. b。 (x。y0)=( (15) (10)(11) (2)-(4) (8),a ADrc bc =be,kp=pr kd=p2,。(a3) ITAE 2.3 le(t)i dt+Ble(t)I,(15) ∑ (17) 50% A1-0.2;75% (integrated time absolute e 入2=0.4;100% ITAE) 4 2.4 3.1 5% 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 129 b1-0.0073 1.33,kn-10,k1-0.014 开始 (20) 设置果蝇群体数P、 优化代数G 初始化果蝇种群位置、 给定P=1,8=1 [13] ADRC 执行果蝇伊化算法, 保留最优味道浓度及相应果蝇位置 Po po pe 1.5 是 文「1 g=g01 否 稳定子某一数值 本文 po-1, 8- 是 最优果蝇位置即为 50U100015(0200 优化得到的控制器参数 (a)50%工况 终止 L5 文|5」文[13 1.195 (18) 0.5 1.67s+ 本文 50n 1000 control, IMC) PID (b)75%工况 Kp=0.6171.K1=0.0047,Kp=19.9941 文[5 (19 木文 ADRC 文13 (c)100%工况 1.1: 优化代数 3.3 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net l292 2C14,54(10) 007,14(3):284-286 XU Chang, LU Jian hong, CHENG Ming. Neural network M(s) PID adaptive control and its application [J].Control Engineering of China, 2007,14(3):284-286. (in Chinese G (s) [3 MAN Chuntao, LI JiE, WANG Lanying, ct al. The fuzzy PID control system for superheated steam temperature of boiler [Cl// IEEE 6 th International Forum on Strategic Technolagy (IFOST). Harlin, 2011.2: 967-970 [4 ZHAO Wenjie. NIU Yug-Uang, LIU Jizhen. MulTi-model MO 1十GG (21) adaptive contrcl for the superheated steam temperature C3// IEEE International Conference on Machine Learning and Cybcrnctics. Bcijing, 2002. 1: 269-272. M(jm)|≤1+ (22) 009,49(2):249252 LI Donghai, JIANG Xuezhi, et al (22) 5 temperatures based cn probabilistic robustness [J].Journal of Tsinghua University: Science and Technology, 2009 9(2);219-252.( in Ch [6 HAN Jingging. From PiD to activc disturbance rcjcction e Tran 本文 2009,56(3):900906 文|l3 32(21):82-86 10y WANG Bingshu, GUAN Zhimin, LIN Yongjun, et al. Mai 100 steam temperature controller and its parameter adjustment for the th plant bascd on active disturba ontrol [J_. Automation of Electric Power Systems, 2009 32(21):82-86.( in Chinese) L8 GAo Zliigiang. Scaling and hand widiirparameterization based controller tuning [C dings of the american Control Conference. Denver, CO. 2006,614989-4996 [9 ZHANG Yuqiong, LI Donghai, XUE Yali. Activ disturbance rejection contro. for circulating fluidized bed boiler [C/ /IEEE 12-th International Conference on Control Automation and Systems (ICCAS). Jeju Island 012:1413-1418 L10 HUANG Chu:'e. LI Donghai. XUE YAli. Active disturbance rejection control for the ALSTOM gasifier benchmark PID ITAE problem [J]. Control Engineering Practice, 2013 [11 ZHAO Chunze, LI Donghai. Contrcl design for the SISO systcm with the unknown order and thc unknown rclativc degree [). IS A Transaction, 2014, 53(4):858-872 [12 PAN Wen- Tsao. A new fruit fly optimization algorithm Taking the financial di del [17> Knoe led ge-Based Systems.2012.26:69-74 (References ,2308. CHEN Xing. Active Disturbance Rejection Controller Tuning ,2010(3):293-296. and Its Applications to Thermal Processcs [D]. Bcijing NIU Peifeng, GUO Xinghua, MENG Fandong. Application Tsinghua University, 2008. (in Chinese) of fuzzy neural net work control to Suoer-heated steam []. Control Engineering of China, 2010(3 293-296. (in Chinese 21994-2015ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 【实例截图】
【核心代码】
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